Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data.

Data Management 98

Data Management Data Architecture Data Governance Government 98

The Data Administration Newsletter

MAY 4, 2021

When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […].

Data Management 139

Data Management Data Architecture 139

Dataversity

JUNE 15, 2021

This is the definition of DevSecOps (short for development, security, and operations). Security management inside the limits of the corporate organization can be perplexing: Security hazards are evaluated, and controls and countermeasures are concocted to lessen the dangers to a manageable level and cost. All in all, […].

Data Architecture 130

Data Architecture 130

Astera

DECEMBER 2, 2022

Reasons to Migrate Healthcare Data: There are various reasons why organizations seek a data migration solution. Modernizing Data Systems: Data architecture modernization is the most common reason for data migration. Some of those reasons are: 1.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

BizAcuity

APRIL 6, 2022

There is no definite answer. Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of. Gaming enthusiasts are seeing the perks offered by NFT games DEALI including passive income through gaming.

Data Analytics 130

Data Analytics Data Analytics Data Architecture Digital 130

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 101

Data Governance Government Data Quality Change Management 101

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Sisense

SEPTEMBER 3, 2020

This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. See an example: Explore Dashboard.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Astera

JUNE 4, 2024

A data dictionary typically contains information about default values, auditing, functions, sequence, constraint information (format, range, uniqueness), and the space allocated for the fields. Ownership and Version Control of Definitions Business terms and their interpretations can evolve.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MAY 22, 2024

Building a solid data governance framework involves several key pillars. These pillars include; establishing data quality standards, integrating data from various sources, prioritizing data privacy and security, and defining a clear data architecture.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

MARCH 19, 2024

Data Standards and Metadata Management: Standardizing data formats, definitions, and naming conventions is crucial for ensuring consistency and interoperability across the organization. The program establishes processes for metadata management, including the documentation of data lineage, definitions, and usage policies.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Similarly, developing and executing a successful data strategy also needs experienced personnel.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Leading Agile

NOVEMBER 13, 2024

So then we have teams that can’t establish stable velocity teams that are in weight states teams that can’t get to a definition of done. It was definitely before we started leading Agile. They had easy access to customers, they were able to everybody get in the same room. It was reactive. This was my time at version one.

Agile 77

Agile Planning Data Architecture Government 77

Astera

OCTOBER 27, 2023

The benefits of a cloud data warehouse extend to breaking data silos , consolidating the data available in different applications, and identifying opportunities that would otherwise go unnoticed with a traditional on-premises data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Leading Agile

NOVEMBER 15, 2024

So if it doesn’t have the ability to do that, we by definition have a dependency of some sort. And that team, by the definition of Agile is operates off a backlog. But back in the day, one of the definitions I offered is basically set the criteria for this particular team. So the definition can be extended.

Agile 77

Agile IBM Maintenance Project Management IBM cost 77

Insight Software

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It is now most definitely a need-to-have. CRM, ERP, EHR/EMR) or portals (e.g., intranets or extranets).

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52